r"""Returns the mean of the scalars that were accumulated for the given statistic between the last two calls to `update()`, or NaN if

r"""Copies current values of the internal counters to the user-visible state and resets them for the next round. If `keep_previous=Tr

r"""Returns the standard deviation of the scalars that were accumulated for the given statistic between the last two calls to `update(

Write text to stdout (and a file) and optionally flush.

Wrapper for the underlying `conv2d()` and `conv_transpose2d()` implementations.

Flush written text to both stdout and a file, if open.

r"""Returns the raw moments that were accumulated for the given statistic between the last two calls to `update()`, or zero if no scal

incident: B x N x 3 normal: B x N x 3 w_r = 2(w0.n)n - w0

Convert sdf samples to .ply :param pytorch_3d_sdf_tensor: a torch.FloatTensor of shape (n,n,n) :voxel_grid_origin: a list of three floats

Takes in the direction the camera is pointing and the camera origin and returns a cam2world matrix. Works on batches of forward_vectors, orig

Traverses the object name and returns the last (rightmost) python object.

sphere_size: int, denoting SxS sized half sphere light_coeff: 9x3 tensor of sh coefficient img: BxCxHxW batched images

sh: np.array (9x3) https://github.com/zhhoper/DPR/blob/master/testNetwork_demo_512.py

r"""Pad, upsample, filter, and downsample a batch of 2D images. Performs the following sequence of operations for each channel: 1. Upsample

Fast CUDA implementation of `filtered_lrelu()` using custom ops.

Fast CUDA implementation of `upfirdn2d()` using custom ops.

Flush, close possible files, and remove stdout/stderr mirroring.

albedo: b x N x F normal: b x N x 3 sh_light: b x 9 x 3 constant_factor: 9

Args: inputs (B, N, d): outputs (B, N): Returns:

albedo: b x N x F reflect_ray: b x N x 3 sh_light: b x 9 x 3 k_s : b x N x 1 constant_factor: 9

Searches for the underlying module behind the name to some python object. Returns the module and the object name (original name with module part r

r"""Test whether the given object or class is persistent, i.e., whether it will save its source code when pickled.

r"""Returns the names of all statistics broadcasted so far that match the regular expression specified at construction time.

Return depths of approximately uniformly spaced samples along rays.